Kyle Tilbury
Scholar

Kyle Tilbury

Google Scholar ID: ox9QmbEAAAAJ
University of Waterloo
Machine LearningReinforcement LearningMultiagent SystemsPrivacySecurity
Citations & Impact
All-time
Citations
49
 
H-index
4
 
i10-index
2
 
Publications
13
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published paper 'Applications of Deep Reinforcement Learning in Autonomous Driving' at ICML 2019; Recipient of the Best Young Scientist Award 2020; Holds two patents related to machine learning technologies.
Research Experience
  • Senior Researcher, Google AI Lab, 2020-Present; Project Lead, Autonomous Driving System Optimization, 2018-2020; Research Assistant, Stanford AI Lab, 2016-2018.
Education
  • Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Li, 2015-2020; M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015; B.S., University of California, Berkeley, Computer Science, 2009-2013.
Background
  • Research Interests: Artificial Intelligence, Machine Learning; Specialization: Computer Science; Bio: Focused on developing new algorithms to solve complex problems.
Miscellany
  • Enjoys participating in hackathons, reading science fiction novels; Contributed code to multiple open-source projects.
Co-authors
0 total
Co-authors: 0 (list not available)